DATA505 Final Presentation

Nicole Rodgers & Jon Garrow

Predicting Part Profits

We used a linear regression model to predict which of CravenSpeed’s parts will be most profitable over time. Overall, we found that parts like the FlexPod are likely to be most profitable for CravenSpeed. It is a small, inexpensive plastic part that is useful for many makes, models, and years.

Importance Chart

We used a random forests technique to show which features are most important to this model.

Number of Components

We converted this to a number, ranging from 0 to 31 included in each SKU.

Percent Ordered for Stock

This variable suggests retailers are order many of this product.

Product Type

A few product types are especially profitable over the period of this dataset, the FlexPod, Performance and Other in particular.

Percent Drop Shipments

Main Component Finish Process: Oxide

The finishing process “Oxide” was (negatively) predictive of profitability

Listing Type: Variant

Variants tend to be less profitable.

Year Range

We created this feature to show the number of model years a product works for.

Main Component Material

Plastic and rubber parts are negatively associated with profits.

Main Component Mfg Process

Print was negatively associated with profit.